Interpretable Context Methodology: Folder Structure as Agentic Architecture

ArXi:2603.16021v1 Announce Type: new Current approaches to AI agent orchestration typically involve building multi-agent frameworks that manage context passing, memory, error handling, and step coordination through code. These frameworks work well for complex, concurrent systems. But for sequential workflows where a human reviews output at each step, they